因为A，B，C，都是错的，所以，正确答案是D，这道题很简单，同学有没有不懂的地方？”一同学起立：...
DEVICE FOR COMPUTING FUNCTION: X EQUALS SQUARE ROOT FROM SQUARED A PLUS SQUARED BCHEKUSHKIN VSEVOLOD V,SU
square root A number that when squared (multiplied by itself) equals a given number. For example,the square root of 25 ( written√25) is ± 5, because 5×5=25 and (-5)×( -5)= 25 As an exponent,a square root is represented by 1/2, for example, 16^(1/2)=4. This may be...
e Numerical root mean squared value (rms) of |an| as a function of n for memory parameters Me = 500, 2000 and 10,000 (purple, red and orange as indicated by the arrow) in the case of the walker dynamics (resp. randomly constructed field). The theoretical prediction of Eq. (5...
With PT, features are extracted from the input signal more effectively by using an adaptive measurement window and applying sinusoidal or co-sinusoidal functions to the sum of squared data samples. It is evident from199 and200 that PT is successful in detecting islanding. As opposed to this, ...
Recall that ametricis a number that is calculated based on thepredictions of our model and the correct labels in our dataset, in order to tell us how good our model is. For instance, we could use either of the functions we saw in the previous section, mean squared error or mean absolut...
In the training phase of DNN regression, the goal is to minimize the mean squared error (MSE) between the train coordinates in (2) and predicted coordinates by DNN through the following objective function (4)LMSE=12R∑r=1R([fLx]r−xr)2+([fLy]r−yr)2,where xr and yr are actual ...
Least-squares regression adjusts the values of one or more parameters (a0, a1, ... ak) to minimize the weighted sum (over all data points) of the squared distance between the y value of the data point (y1, y2, ... yN) and the corresponding y value of the curve. The equations be...
As the errors are squared before being averaged, the RMSE gives a relatively high weight to large errors. If RMSE equals 0, it means the perfect fit of two datasets. Therefore, a smaller value of RMSE indicates a more accurate estimation. Area under the curve of the success rate (AUC-SR...
\(b\) was chosen as the average value of the ipsiversive STA 1–2 s prior to saccade. \(A\) and \(\tau\) were found by minimizing the squared error between the model and data using an interior-point algorithm (MATLAB fmincon) with \(\tau\) constrained to be positive and \(A...